Sr Manager, Data Architecture

Accountabilities:: Define and continuously improve enterprise data architecture standards, guidelines, principles, reference architectures, design patterns, and guardrails. Establish and maintain data management policies and procedures covering data models, metadata, governance, integration, quality, security, and lifecycle management. Provide technical leadership for legacy platform modernization and the development of scalable, high-performance data solutions. Lead and oversee multiple complex data architecture initiatives, from proof of concept through implementation, ensuring solutions meet business and technical requirements. Drive data confidentiality, integrity, availability, security, compliance, consistency, and quality across the organization. Review existing data architectures to assess effectiveness, compliance, scalability, and alignment with intended business outcomes. Oversee the creation and maintenance of subject-area data warehouses and authoritative records of reference. Champion enterprise data governance and master data management, partnering with MDM and business teams responsible for critical data domains. Collaborate with solution and domain architects to establish effective methods for synchronizing and integrating data across enterprise systems. Promote advanced analytics and AI/ML adoption by enabling appropriate data foundations, architecture patterns, and governance practices. Identify opportunities to reduce data redundancy and improve efficiency through recognized industry practices, standards, and innovative approaches. Mentor data architecture professionals on complex challenges involving database performance, scalability, availability, and architecture design. Work with external partners to ensure technical solutions and data initiatives meet organizational requirements. Lead through influence across global, cross-functional teams while balancing competing priorities, risks, costs, and delivery timelines. Requirements: Bachelor’s degree with 13+ years of relevant experience, or a graduate degree with 10–12 years of relevant experience. Extensive experience in enterprise architecture, data architecture, information management, or related technology disciplines. Approximately 7–10 years of experience across at least two IT disciplines, such as technical architecture, solution architecture, application development, middleware, information analysis, database management, network management, or operations in heterogeneous environments. Previous experience as an enterprise architect is highly desirable, as is additional training or certification in organizational change management. Demonstrated experience leading high-performing teams and delivering complex technology initiatives against challenging objectives. Strong expertise in data architecture and modeling, data warehouse technologies, master data management, data governance, and metadata management. Experience with data modeling and visualization tools, integration technologies, ETL/ELT platforms, and service-oriented architecture. Hands-on knowledge of big data analytics technologies and frameworks such as Hadoop, Spark, Kafka, or comparable platforms. Strong understanding of business process modeling, statistical modeling, emerging technologies, and third-party technology solutions. Ability to connect solutions across multiple systems and translate business needs into scalable technical architectures. Strong business acumen, conceptual thinking, analytical and creative problem-solving skills, and sound decision-making capabilities. Excellent facilitation, interpersonal, communication, teamwork, and collaboration skills. Ability to influence without direct authority, drive innovation within global teams, prioritize effectively, and make informed trade-off decisions. Adaptability, strong execution skills, and a growth mindset in a continuously changing technology environment. Benefits: Competitive salary and benefits package aligned with the country of hire. Full-time, remote position based in India. Opportunities to work on large-scale, globally impactful data and technology initiatives. Multiple career development pathways within a large global organization. Access to extensive learning and development resources, including online learning, certifications, and professional specialization opportunities. Opportunities to develop expertise in emerging areas including advanced analytics, AI/ML, data governance, and modern data architecture. Collaborative and inclusive working environment with diverse international teams. Opportunities to contribute to technology innovation, sustainability initiatives, and community-focused programs. Exposure to a broad portfolio of brands, technologies, and business environments.